Machine learning for nanomaterial-based optical wavelength estimation.data.zip

This is the training/testing pipeline used for:Davoud Hejazi, Shuangjun Liu, Amirreza Farnoosh, Sarah Ostadabbas, Swastik Kar, "Development of Use-specific High Performance Cyber-Nanomaterial Optical Detectors by Effective Choice of Machine Learning Algorithms," 2019. arXiv.1907.02161Contact: Davoud Hejazi, Sarah Ostadabbas, Swastik KarThis project is collection of several codes, for the purpose of testing the efficacy of various machine learning algorithms in estimating optical wavelength using optical transmittance data of nanomaterials-based thin-film filters. More details can be found in "READEME.md" file included with the codes.

本数据集涉及用于训练/测试流程，该流程由 Davoud Hejazi、Shuangjun Liu、Amirreza Farnoosh、Sarah Ostadabbas 和 Swastik Kar 等人所著的论文《通过有效选择机器学习算法开发特定用途的高性能光子纳米材料光学探测器》于 2019 年发表在 arXiv.1907.02161 上。论文的联系方式为：Davoud Hejazi、Sarah Ostadabbas 和 Swastik Kar。该项目包含一系列代码，旨在测试各种机器学习算法在利用纳米材料薄膜滤波器的光学透射数据估计光学波长的有效性。更详细的信息可在所附的 'READEME.md' 文件中找到。